Overview

Brought to you by YData

Dataset statistics

Number of variables18
Number of observations491
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory69.2 KiB
Average record size in memory144.3 B

Variable types

Numeric18

Alerts

ADX is highly overall correlated with MACDHigh correlation
Adj Close is highly overall correlated with BB_lower and 9 other fieldsHigh correlation
Aroon_Down is highly overall correlated with Aroon_Up and 3 other fieldsHigh correlation
Aroon_Up is highly overall correlated with Aroon_Down and 3 other fieldsHigh correlation
BB_lower is highly overall correlated with Adj Close and 9 other fieldsHigh correlation
BB_upper is highly overall correlated with Adj Close and 9 other fieldsHigh correlation
Close is highly overall correlated with Adj Close and 9 other fieldsHigh correlation
EMA5 is highly overall correlated with Adj Close and 9 other fieldsHigh correlation
High is highly overall correlated with Adj Close and 9 other fieldsHigh correlation
Low is highly overall correlated with Adj Close and 9 other fieldsHigh correlation
MACD is highly overall correlated with ADX and 3 other fieldsHigh correlation
MACD_signal is highly overall correlated with Aroon_Down and 2 other fieldsHigh correlation
OBV is highly overall correlated with Adj Close and 9 other fieldsHigh correlation
Open is highly overall correlated with Adj Close and 9 other fieldsHigh correlation
RSI15 is highly overall correlated with Aroon_Down and 3 other fieldsHigh correlation
SMA15 is highly overall correlated with Adj Close and 9 other fieldsHigh correlation
Unnamed: 0 is highly overall correlated with Adj Close and 9 other fieldsHigh correlation
Unnamed: 0 is uniformly distributed Uniform
Unnamed: 0 has unique values Unique
Volume has unique values Unique
EMA5 has unique values Unique

Reproduction

Analysis started2024-10-20 00:03:34.964415
Analysis finished2024-10-20 00:03:55.606712
Duration20.64 seconds
Software versionydata-profiling vv4.11.0
Download configurationconfig.json

Variables

Unnamed: 0
Real number (ℝ)

High correlation  Uniform  Unique 

Distinct491
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean245
Minimum0
Maximum490
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-19T20:03:55.654879image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24.5
Q1122.5
median245
Q3367.5
95-th percentile465.5
Maximum490
Range490
Interquartile range (IQR)245

Descriptive statistics

Standard deviation141.88376
Coefficient of variation (CV)0.57911737
Kurtosis-1.2
Mean245
Median Absolute Deviation (MAD)123
Skewness0
Sum120295
Variance20131
MonotonicityStrictly increasing
2024-10-19T20:03:55.747033image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
0.2%
337 1
 
0.2%
335 1
 
0.2%
334 1
 
0.2%
333 1
 
0.2%
332 1
 
0.2%
331 1
 
0.2%
330 1
 
0.2%
329 1
 
0.2%
328 1
 
0.2%
Other values (481) 481
98.0%
ValueCountFrequency (%)
0 1
0.2%
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
ValueCountFrequency (%)
490 1
0.2%
489 1
0.2%
488 1
0.2%
487 1
0.2%
486 1
0.2%
485 1
0.2%
484 1
0.2%
483 1
0.2%
482 1
0.2%
481 1
0.2%

Open
Real number (ℝ)

High correlation 

Distinct472
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49851598
Minimum0
Maximum1
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-19T20:03:55.836336image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.11134241
Q10.3671585
median0.4893637
Q30.61102565
95-th percentile0.92129085
Maximum1
Range1
Interquartile range (IQR)0.24386715

Descriptive statistics

Standard deviation0.23356357
Coefficient of variation (CV)0.46851772
Kurtosis-0.41792168
Mean0.49851598
Median Absolute Deviation (MAD)0.12247682
Skewness0.15610963
Sum244.77135
Variance0.054551942
MonotonicityNot monotonic
2024-10-19T20:03:55.923972image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5002263541 3
 
0.6%
0.4258169969 2
 
0.4%
0.4140490678 2
 
0.4%
0.8903774662 2
 
0.4%
0.9350050413 2
 
0.4%
0.6253281272 2
 
0.4%
0.5731873212 2
 
0.4%
0.5920159801 2
 
0.4%
0.5778039097 2
 
0.4%
0.5934643703 2
 
0.4%
Other values (462) 470
95.7%
ValueCountFrequency (%)
0 1
0.2%
0.007965939209 1
0.2%
0.01013845553 1
0.2%
0.01792338049 1
0.2%
0.02172537037 1
0.2%
0.03313113284 1
0.2%
0.03847191651 1
0.2%
0.03865299983 1
0.2%
0.04037294599 1
0.2%
0.04444642272 1
0.2%
ValueCountFrequency (%)
1 1
0.2%
0.9972843028 1
0.2%
0.9866027355 1
0.2%
0.9740201386 1
0.2%
0.9723906651 1
0.2%
0.9558252023 1
0.2%
0.9539241728 1
0.2%
0.9438761898 1
0.2%
0.9430615221 1
0.2%
0.9422468544 1
0.2%

High
Real number (ℝ)

High correlation 

Distinct479
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50161696
Minimum0
Maximum1
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-19T20:03:56.012393image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1141086
Q10.37212904
median0.49015678
Q30.61037182
95-th percentile0.92603896
Maximum1
Range1
Interquartile range (IQR)0.23824278

Descriptive statistics

Standard deviation0.23568119
Coefficient of variation (CV)0.46984296
Kurtosis-0.42985368
Mean0.50161696
Median Absolute Deviation (MAD)0.12003278
Skewness0.17614646
Sum246.29393
Variance0.055545626
MonotonicityNot monotonic
2024-10-19T20:03:56.102704image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4240794992 2
 
0.4%
0.4771235349 2
 
0.4%
0.5407401082 2
 
0.4%
0.1773605315 2
 
0.4%
0.5670798745 2
 
0.4%
0.5011847742 2
 
0.4%
0.5206889596 2
 
0.4%
0.540284375 2
 
0.4%
0.6105540691 2
 
0.4%
0.6072729847 2
 
0.4%
Other values (469) 471
95.9%
ValueCountFrequency (%)
0 1
0.2%
0.008111620008 1
0.2%
0.01986875801 1
0.2%
0.02296752133 1
0.2%
0.02469922408 1
0.2%
0.02852713271 1
0.2%
0.02971201124 1
0.2%
0.03180821712 1
0.2%
0.03317541675 1
0.2%
0.04238061567 1
0.2%
ValueCountFrequency (%)
1 1
0.2%
0.9976302429 1
0.2%
0.9888807772 1
0.2%
0.9880604018 1
0.2%
0.9668246528 1
0.2%
0.9598978418 1
0.2%
0.9598067508 1
0.2%
0.9590776054 1
0.2%
0.9583484601 1
0.2%
0.955796521 1
0.2%

Low
Real number (ℝ)

High correlation 

Distinct484
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50370807
Minimum0
Maximum1
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-19T20:03:56.192100image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.10178442
Q10.37773124
median0.49044061
Q30.61871815
95-th percentile0.91769853
Maximum1
Range1
Interquartile range (IQR)0.24098691

Descriptive statistics

Standard deviation0.23337693
Coefficient of variation (CV)0.46331783
Kurtosis-0.40743631
Mean0.50370807
Median Absolute Deviation (MAD)0.12336115
Skewness0.10966823
Sum247.32066
Variance0.054464793
MonotonicityNot monotonic
2024-10-19T20:03:56.282107image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.05207575939 2
 
0.4%
0.4864349027 2
 
0.4%
0.4359068325 2
 
0.4%
0.9020393767 2
 
0.4%
0.5304989641 2
 
0.4%
0.6370175123 2
 
0.4%
0.4241623989 2
 
0.4%
0.4052257465 1
 
0.2%
0.4137836714 1
 
0.2%
0.4034960743 1
 
0.2%
Other values (474) 474
96.5%
ValueCountFrequency (%)
0 1
0.2%
0.005371485679 1
0.2%
0.006555000407 1
0.2%
0.008284811475 1
0.2%
0.01547709973 1
0.2%
0.02967955431 1
0.2%
0.03241082763 1
0.2%
0.03596137181 1
0.2%
0.04142391846 1
0.2%
0.04979972144 1
0.2%
ValueCountFrequency (%)
1 1
0.2%
0.991624197 1
0.2%
0.9850691966 1
0.2%
0.9847050917 1
0.2%
0.9682265991 1
0.2%
0.9620357037 1
0.2%
0.9603058926 1
0.2%
0.9566642875 1
0.2%
0.9532957957 1
0.2%
0.9514748543 1
0.2%

Close
Real number (ℝ)

High correlation 

Distinct477
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.51132664
Minimum0
Maximum1
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-19T20:03:56.449928image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.11915806
Q10.38393342
median0.50072739
Q30.61993088
95-th percentile0.9297599
Maximum1
Range1
Interquartile range (IQR)0.23599746

Descriptive statistics

Standard deviation0.23421451
Coefficient of variation (CV)0.45805263
Kurtosis-0.41477251
Mean0.51132664
Median Absolute Deviation (MAD)0.1190216
Skewness0.14364985
Sum251.06138
Variance0.054856438
MonotonicityNot monotonic
2024-10-19T20:03:56.550313image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8887980055 2
 
0.4%
0.4894526988 2
 
0.4%
0.4620839984 2
 
0.4%
0.4814511999 2
 
0.4%
0.3522458327 2
 
0.4%
0.498090605 2
 
0.4%
0.4362611556 2
 
0.4%
0.4408074366 2
 
0.4%
0.4334424836 2
 
0.4%
0.4278051395 2
 
0.4%
Other values (467) 471
95.9%
ValueCountFrequency (%)
0 1
0.2%
0.0004546558486 1
0.2%
0.009274452094 1
0.2%
0.01218406916 1
0.2%
0.04173489568 1
0.2%
0.04182577136 1
0.2%
0.04464444338 1
0.2%
0.04555375508 1
0.2%
0.04664481812 1
0.2%
0.05191852073 1
0.2%
ValueCountFrequency (%)
1 1
0.2%
0.9983634054 1
0.2%
0.9945444073 1
0.2%
0.9895436092 1
0.2%
0.981814876 1
0.2%
0.9816329859 1
0.2%
0.9740861428 1
0.2%
0.9707219392 1
0.2%
0.9663575483 1
0.2%
0.9594471124 1
0.2%

Adj Close
Real number (ℝ)

High correlation 

Distinct486
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50942738
Minimum0
Maximum1
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-19T20:03:56.638537image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.11681052
Q10.38280061
median0.49803576
Q30.61702949
95-th percentile0.93021225
Maximum1
Range1
Interquartile range (IQR)0.23422888

Descriptive statistics

Standard deviation0.23492692
Coefficient of variation (CV)0.4611588
Kurtosis-0.41604627
Mean0.50942738
Median Absolute Deviation (MAD)0.11845124
Skewness0.15167958
Sum250.12884
Variance0.055190657
MonotonicityNot monotonic
2024-10-19T20:03:56.728944image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4050579126 2
 
0.4%
0.8899635131 2
 
0.4%
0.3475347931 2
 
0.4%
0.4596675203 2
 
0.4%
0.4238433508 2
 
0.4%
0.1190834478 1
 
0.2%
0.5078180333 1
 
0.2%
0.5114977458 1
 
0.2%
0.5246905097 1
 
0.2%
0.5138310814 1
 
0.2%
Other values (476) 476
96.9%
ValueCountFrequency (%)
0 1
0.2%
0.0004457033388 1
0.2%
0.009091785234 1
0.2%
0.01194406694 1
0.2%
0.04091286194 1
0.2%
0.04100182414 1
0.2%
0.04376486908 1
0.2%
0.04465627575 1
0.2%
0.04572601868 1
0.2%
0.05089571064 1
0.2%
ValueCountFrequency (%)
1 1
0.2%
0.9959379423 1
0.2%
0.9921633642 1
0.2%
0.9896532026 1
0.2%
0.9820054742 1
0.2%
0.9794019571 1
0.2%
0.9743577458 1
0.2%
0.9710288025 1
0.2%
0.9667101547 1
0.2%
0.9574740119 1
0.2%

Volume
Real number (ℝ)

Unique 

Distinct491
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.33910529
Minimum0
Maximum1
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-10-19T20:03:56.817608image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.16614778
Q10.25976175
median0.31975373
Q30.40552923
95-th percentile0.55692001
Maximum1
Range1
Interquartile range (IQR)0.14576748

Descriptive statistics

Standard deviation0.12443821
Coefficient of variation (CV)0.36696038
Kurtosis2.8344
Mean0.33910529
Median Absolute Deviation (MAD)0.071475705
Skewness1.0351074
Sum166.5007
Variance0.015484868
MonotonicityNot monotonic
2024-10-19T20:03:56.907930image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6839385522 1
 
0.2%
0.3526790544 1
 
0.2%
0.4458672633 1
 
0.2%
0.423096746 1
 
0.2%
0.4055723984 1
 
0.2%
0.532174889 1
 
0.2%
0.4723701984 1
 
0.2%
0.432277363 1
 
0.2%
0.6724127447 1
 
0.2%
0.2750700194 1
 
0.2%
Other values (481) 481
98.0%
ValueCountFrequency (%)
0 1
0.2%
0.06140280407 1
0.2%
0.07137620434 1
0.2%
0.08941153715 1
0.2%
0.09326475681 1
0.2%
0.103940634 1
0.2%
0.10762574 1
0.2%
0.1087997874 1
0.2%
0.1210540376 1
0.2%
0.1223840234 1
0.2%
ValueCountFrequency (%)
1 1
0.2%
0.9004907697 1
0.2%
0.8160915323 1
0.2%
0.7621921554 1
0.2%
0.741086978 1
0.2%
0.7337459401 1
0.2%
0.7194726577 1
0.2%
0.6839385522 1
0.2%
0.6724127447 1
0.2%
0.6477901824 1
0.2%

SMA15
Real number (ℝ)

High correlation 

Distinct490
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.7885355 × 10-16
Minimum-2.0127505
Maximum1.9608933
Zeros0
Zeros (%)0.0%
Negative253
Negative (%)51.5%
Memory size4.0 KiB
2024-10-19T20:03:56.994209image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-2.0127505
5-th percentile-1.6336246
Q1-0.54095002
median-0.038788354
Q30.45963791
95-th percentile1.8083226
Maximum1.9608933
Range3.9736439
Interquartile range (IQR)1.0005879

Descriptive statistics

Standard deviation1.0010199
Coefficient of variation (CV)-1.7293146 × 1015
Kurtosis-0.45481945
Mean-5.7885355 × 10-16
Median Absolute Deviation (MAD)0.50153458
Skewness0.14363341
Sum-3.2551739 × 10-13
Variance1.0020408
MonotonicityNot monotonic
2024-10-19T20:03:57.089617image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.4092431272 2
 
0.4%
-1.340755937 1
 
0.2%
0.2444219775 1
 
0.2%
-0.07576716754 1
 
0.2%
-0.04073603876 1
 
0.2%
-0.0003155368631 1
 
0.2%
0.0421593526 1
 
0.2%
0.08759574701 1
 
0.2%
0.1242810358 1
 
0.2%
0.1473861074 1
 
0.2%
Other values (480) 480
97.8%
ValueCountFrequency (%)
-2.012750517 1
0.2%
-2.009762305 1
0.2%
-2.008641742 1
0.2%
-2.0068008 1
0.2%
-2.002665401 1
0.2%
-1.998743366 1
0.2%
-1.989805479 1
0.2%
-1.985723451 1
0.2%
-1.975825034 1
0.2%
-1.949465015 1
0.2%
ValueCountFrequency (%)
1.960893346 1
0.2%
1.941656897 1
0.2%
1.929303987 1
0.2%
1.914869984 1
0.2%
1.897581178 1
0.2%
1.894673045 1
0.2%
1.89005734 1
0.2%
1.886428829 1
0.2%
1.885975271 1
0.2%
1.884694632 1
0.2%

EMA5
Real number (ℝ)

High correlation  Unique 

Distinct491
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.1577071 × 10-16
Minimum-2.1256145
Maximum2.0291964
Zeros0
Zeros (%)0.0%
Negative254
Negative (%)51.7%
Memory size4.0 KiB
2024-10-19T20:03:57.183568image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-2.1256145
5-th percentile-1.640725
Q1-0.52767884
median-0.050339434
Q30.46619693
95-th percentile1.7998697
Maximum2.0291964
Range4.1548109
Interquartile range (IQR)0.99387577

Descriptive statistics

Standard deviation1.0010199
Coefficient of variation (CV)-8.6465729 × 1015
Kurtosis-0.44035856
Mean-1.1577071 × 10-16
Median Absolute Deviation (MAD)0.50528629
Skewness0.1396586
Sum-5.3290705 × 10-14
Variance1.0020408
MonotonicityNot monotonic
2024-10-19T20:03:57.268977image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.480714218 1
 
0.2%
-0.3325132943 1
 
0.2%
-0.361954875 1
 
0.2%
-0.3431120917 1
 
0.2%
-0.2808625159 1
 
0.2%
-0.1898454311 1
 
0.2%
-0.07296459257 1
 
0.2%
0.004525401244 1
 
0.2%
0.03118020309 1
 
0.2%
0.04974965802 1
 
0.2%
Other values (481) 481
98.0%
ValueCountFrequency (%)
-2.125614534 1
0.2%
-2.090638303 1
0.2%
-2.088688023 1
0.2%
-2.064498052 1
0.2%
-2.057129205 1
0.2%
-2.028493985 1
0.2%
-1.999945879 1
0.2%
-1.998591155 1
0.2%
-1.990272893 1
0.2%
-1.973257299 1
0.2%
ValueCountFrequency (%)
2.029196381 1
0.2%
2.005341285 1
0.2%
1.981044133 1
0.2%
1.965243808 1
0.2%
1.96480353 1
0.2%
1.948797408 1
0.2%
1.947711101 1
0.2%
1.888828577 1
0.2%
1.881407601 1
0.2%
1.876958325 1
0.2%

RSI15
Real number (ℝ)

High correlation 

Distinct490
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9332489 × 10-16
Minimum-2.6133636
Maximum2.0448942
Zeros0
Zeros (%)0.0%
Negative224
Negative (%)45.6%
Memory size4.0 KiB
2024-10-19T20:03:57.352977image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-2.6133636
5-th percentile-1.6912682
Q1-0.83100155
median0.120348
Q30.79623559
95-th percentile1.387916
Maximum2.0448942
Range4.6582579
Interquartile range (IQR)1.6272371

Descriptive statistics

Standard deviation1.0010199
Coefficient of variation (CV)1.6871362 × 1015
Kurtosis-0.83707737
Mean5.9332489 × 10-16
Median Absolute Deviation (MAD)0.78913612
Skewness-0.29583458
Sum2.9753977 × 10-13
Variance1.0020408
MonotonicityNot monotonic
2024-10-19T20:03:57.435250image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.170454982 2
 
0.4%
-1.579066031 1
 
0.2%
-2.166983666 1
 
0.2%
-2.61336364 1
 
0.2%
-2.603960987 1
 
0.2%
-2.527588638 1
 
0.2%
-2.076427344 1
 
0.2%
-1.493872277 1
 
0.2%
-1.32440697 1
 
0.2%
-1.218424681 1
 
0.2%
Other values (480) 480
97.8%
ValueCountFrequency (%)
-2.61336364 1
0.2%
-2.603960987 1
0.2%
-2.527588638 1
0.2%
-2.174901145 1
0.2%
-2.166983666 1
0.2%
-2.076427344 1
0.2%
-2.055196451 1
0.2%
-2.023236957 1
0.2%
-2.000843356 1
0.2%
-1.962838004 1
0.2%
ValueCountFrequency (%)
2.044894215 1
0.2%
1.992420325 1
0.2%
1.990209965 1
0.2%
1.963263719 1
0.2%
1.892290545 1
0.2%
1.781065805 1
0.2%
1.754250063 1
0.2%
1.73660575 1
0.2%
1.695784114 1
0.2%
1.660979392 1
0.2%

BB_upper
Real number (ℝ)

High correlation 

Distinct450
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3933765 × 10-16
Minimum-1.6021659
Maximum2.2113697
Zeros0
Zeros (%)0.0%
Negative202
Negative (%)41.1%
Memory size4.0 KiB
2024-10-19T20:03:57.517539image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1.6021659
5-th percentile-1.5641846
Q1-0.70856252
median0.16445913
Q30.48799942
95-th percentile2.116309
Maximum2.2113697
Range3.8135356
Interquartile range (IQR)1.1965619

Descriptive statistics

Standard deviation1.0010199
Coefficient of variation (CV)1.1926307 × 1015
Kurtosis-0.21765973
Mean8.3933765 × 10-16
Median Absolute Deviation (MAD)0.38954177
Skewness0.13183945
Sum4.3920423 × 10-13
Variance1.0020408
MonotonicityNot monotonic
2024-10-19T20:03:57.605970image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.460994333 42
 
8.6%
0.08736040036 1
 
0.2%
0.2688895057 1
 
0.2%
0.2824458746 1
 
0.2%
0.307759728 1
 
0.2%
0.3316992681 1
 
0.2%
0.3524615956 1
 
0.2%
0.3731241478 1
 
0.2%
0.3751292467 1
 
0.2%
0.3841601059 1
 
0.2%
Other values (440) 440
89.6%
ValueCountFrequency (%)
-1.602165905 1
0.2%
-1.599420648 1
0.2%
-1.596968199 1
0.2%
-1.595358105 1
0.2%
-1.593152703 1
0.2%
-1.593086466 1
0.2%
-1.592988359 1
0.2%
-1.592718853 1
0.2%
-1.592424513 1
0.2%
-1.592401219 1
0.2%
ValueCountFrequency (%)
2.211369739 1
0.2%
2.20708933 1
0.2%
2.206054235 1
0.2%
2.201992374 1
0.2%
2.201185277 1
0.2%
2.195838221 1
0.2%
2.195185117 1
0.2%
2.19364434 1
0.2%
2.193606313 1
0.2%
2.193530574 1
0.2%

BB_lower
Real number (ℝ)

High correlation 

Distinct450
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.209682 × 10-16
Minimum-1.5474028
Maximum1.9320835
Zeros0
Zeros (%)0.0%
Negative225
Negative (%)45.8%
Memory size4.0 KiB
2024-10-19T20:03:57.692386image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1.5474028
5-th percentile-1.404687
Q1-0.8063456
median0.11546737
Q30.31033903
95-th percentile1.8494237
Maximum1.9320835
Range3.4794863
Interquartile range (IQR)1.1166846

Descriptive statistics

Standard deviation1.0010199
Coefficient of variation (CV)-1.9214606 × 1015
Kurtosis-0.59193106
Mean-5.209682 × 10-16
Median Absolute Deviation (MAD)0.43971692
Skewness0.29264972
Sum-2.7733371 × 10-13
Variance1.0020408
MonotonicityNot monotonic
2024-10-19T20:03:57.779177image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.402775672 42
 
8.6%
-0.3261889332 1
 
0.2%
0.1845518649 1
 
0.2%
0.1830163886 1
 
0.2%
0.1765092084 1
 
0.2%
0.1730715739 1
 
0.2%
0.1726257061 1
 
0.2%
0.183652062 1
 
0.2%
0.2034736836 1
 
0.2%
0.2197010147 1
 
0.2%
Other values (440) 440
89.6%
ValueCountFrequency (%)
-1.547402763 1
0.2%
-1.542600025 1
0.2%
-1.541685956 1
0.2%
-1.532310558 1
0.2%
-1.528255717 1
0.2%
-1.525697103 1
0.2%
-1.522724138 1
0.2%
-1.514284691 1
0.2%
-1.504790016 1
0.2%
-1.499575865 1
0.2%
ValueCountFrequency (%)
1.932083508 1
0.2%
1.930969751 1
0.2%
1.92886366 1
0.2%
1.923393011 1
0.2%
1.921070178 1
0.2%
1.92067314 1
0.2%
1.917712113 1
0.2%
1.913414296 1
0.2%
1.911581852 1
0.2%
1.909691898 1
0.2%

MACD
Real number (ℝ)

High correlation 

Distinct480
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.6178347 × 10-17
Minimum-2.118041
Maximum2.722311
Zeros0
Zeros (%)0.0%
Negative237
Negative (%)48.3%
Memory size4.0 KiB
2024-10-19T20:03:57.950509image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-2.118041
5-th percentile-1.5914854
Q1-0.80584387
median0.043342859
Q30.67273221
95-th percentile1.756992
Maximum2.722311
Range4.840352
Interquartile range (IQR)1.4785761

Descriptive statistics

Standard deviation1.0010199
Coefficient of variation (CV)-2.7669033 × 1016
Kurtosis-0.29955324
Mean-3.6178347 × 10-17
Median Absolute Deviation (MAD)0.72751423
Skewness0.14434071
Sum-4.4408921 × 10-15
Variance1.0020408
MonotonicityNot monotonic
2024-10-19T20:03:58.035795image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.02842890544 12
 
2.4%
0.01896694563 1
 
0.2%
-1.801464814 1
 
0.2%
-1.871530371 1
 
0.2%
-1.873034742 1
 
0.2%
-1.928612762 1
 
0.2%
-1.960375053 1
 
0.2%
-1.906347601 1
 
0.2%
-1.753951343 1
 
0.2%
-1.544204297 1
 
0.2%
Other values (470) 470
95.7%
ValueCountFrequency (%)
-2.118041 1
0.2%
-2.076214283 1
0.2%
-2.046422939 1
0.2%
-2.002823424 1
0.2%
-1.960375053 1
0.2%
-1.952168154 1
0.2%
-1.938617385 1
0.2%
-1.935652903 1
0.2%
-1.928612762 1
0.2%
-1.906347601 1
0.2%
ValueCountFrequency (%)
2.722311037 1
0.2%
2.681429529 1
0.2%
2.636393143 1
0.2%
2.599230673 1
0.2%
2.588191607 1
0.2%
2.552620926 1
0.2%
2.460602701 1
0.2%
2.444992753 1
0.2%
2.375190162 1
0.2%
2.34781749 1
0.2%

MACD_signal
Real number (ℝ)

High correlation 

Distinct472
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8089174 × 10-18
Minimum-2.851214
Maximum2.1791577
Zeros0
Zeros (%)0.0%
Negative254
Negative (%)51.7%
Memory size4.0 KiB
2024-10-19T20:03:58.119554image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-2.851214
5-th percentile-1.7516787
Q1-0.48578484
median-0.027750133
Q30.59278711
95-th percentile1.8031936
Maximum2.1791577
Range5.0303717
Interquartile range (IQR)1.078572

Descriptive statistics

Standard deviation1.0010199
Coefficient of variation (CV)5.5338067 × 1017
Kurtosis0.33674441
Mean1.8089174 × 10-18
Median Absolute Deviation (MAD)0.54525423
Skewness-0.19004292
Sum5.3290705 × 10-15
Variance1.0020408
MonotonicityNot monotonic
2024-10-19T20:03:58.205010image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.4021567731 20
 
4.1%
-0.3502439282 1
 
0.2%
0.2075472378 1
 
0.2%
-0.04809503827 1
 
0.2%
-0.2596632555 1
 
0.2%
-0.5568430658 1
 
0.2%
-0.7030898395 1
 
0.2%
-1.063533788 1
 
0.2%
-1.435852495 1
 
0.2%
-1.619425946 1
 
0.2%
Other values (462) 462
94.1%
ValueCountFrequency (%)
-2.851214028 1
0.2%
-2.814770708 1
0.2%
-2.781981517 1
0.2%
-2.780328599 1
0.2%
-2.689879158 1
0.2%
-2.625156341 1
0.2%
-2.618434408 1
0.2%
-2.611272569 1
0.2%
-2.48298715 1
0.2%
-2.451673117 1
0.2%
ValueCountFrequency (%)
2.179157682 1
0.2%
2.15665723 1
0.2%
2.142757838 1
0.2%
2.128266994 1
0.2%
2.111235258 1
0.2%
2.08181863 1
0.2%
2.081198982 1
0.2%
2.071414369 1
0.2%
2.052953794 1
0.2%
2.047471695 1
0.2%

OBV
Real number (ℝ)

High correlation 

Distinct490
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.694943 × 108
Minimum-4.868175 × 108
Maximum2.0454186 × 109
Zeros0
Zeros (%)0.0%
Negative26
Negative (%)5.3%
Memory size4.0 KiB
2024-10-19T20:03:58.290324image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-4.868175 × 108
5-th percentile-26629150
Q14.7465725 × 108
median8.640338 × 108
Q31.1629042 × 109
95-th percentile1.8783518 × 109
Maximum2.0454186 × 109
Range2.5322361 × 109
Interquartile range (IQR)6.8824695 × 108

Descriptive statistics

Standard deviation5.6055126 × 108
Coefficient of variation (CV)0.64468652
Kurtosis-0.36666568
Mean8.694943 × 108
Median Absolute Deviation (MAD)3.622263 × 108
Skewness0.089348454
Sum4.269217 × 1011
Variance3.1421771 × 1017
MonotonicityNot monotonic
2024-10-19T20:03:58.383594image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
666760900 2
 
0.4%
-124385900 1
 
0.2%
697266100 1
 
0.2%
278024400 1
 
0.2%
217884900 1
 
0.2%
141770300 1
 
0.2%
213535400 1
 
0.2%
282123100 1
 
0.2%
377255500 1
 
0.2%
458765600 1
 
0.2%
Other values (480) 480
97.8%
ValueCountFrequency (%)
-486817500 1
0.2%
-446197100 1
0.2%
-438046200 1
0.2%
-411113800 1
0.2%
-401379100 1
0.2%
-357083500 1
0.2%
-350291500 1
0.2%
-334079600 1
0.2%
-332371300 1
0.2%
-279500700 1
0.2%
ValueCountFrequency (%)
2045418600 1
0.2%
2030502000 1
0.2%
2016647900 1
0.2%
2000283400 1
0.2%
1989894600 1
0.2%
1980713300 1
0.2%
1978637300 1
0.2%
1978595700 1
0.2%
1977511200 1
0.2%
1969347100 1
0.2%

ADX
Real number (ℝ)

High correlation 

Distinct478
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.6828033 × 10-17
Minimum-1.7749736
Maximum2.2861968
Zeros0
Zeros (%)0.0%
Negative256
Negative (%)52.1%
Memory size4.0 KiB
2024-10-19T20:03:58.466736image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1.7749736
5-th percentile-1.4674649
Q1-0.81863455
median-0.043247955
Q30.62161743
95-th percentile1.7977325
Maximum2.2861968
Range4.0611704
Interquartile range (IQR)1.440252

Descriptive statistics

Standard deviation1.0010199
Coefficient of variation (CV)1.1528764 × 1016
Kurtosis-0.69972494
Mean8.6828033 × 10-17
Median Absolute Deviation (MAD)0.70141758
Skewness0.27928354
Sum6.7945649 × 10-14
Variance1.0020408
MonotonicityNot monotonic
2024-10-19T20:03:58.558037image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.983382612 14
 
2.9%
-0.138329231 1
 
0.2%
0.6050131193 1
 
0.2%
0.640259764 1
 
0.2%
0.620398841 1
 
0.2%
0.6049434398 1
 
0.2%
0.6126810226 1
 
0.2%
0.5892913387 1
 
0.2%
0.4117477539 1
 
0.2%
0.2233932543 1
 
0.2%
Other values (468) 468
95.3%
ValueCountFrequency (%)
-1.774973592 1
0.2%
-1.767585949 1
0.2%
-1.76010443 1
0.2%
-1.72544878 1
0.2%
-1.722284979 1
0.2%
-1.711708679 1
0.2%
-1.710665138 1
0.2%
-1.700710497 1
0.2%
-1.700318818 1
0.2%
-1.688052814 1
0.2%
ValueCountFrequency (%)
2.286196846 1
0.2%
2.285996633 1
0.2%
2.271605241 1
0.2%
2.242658353 1
0.2%
2.241277495 1
0.2%
2.233500388 1
0.2%
2.23274528 1
0.2%
2.227698473 1
0.2%
2.20044547 1
0.2%
2.125557065 1
0.2%

Aroon_Up
Real number (ℝ)

High correlation 

Distinct15
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.6076438 × 10-17
Minimum-1.1628818
Maximum1.6291719
Zeros0
Zeros (%)0.0%
Negative262
Negative (%)53.4%
Memory size4.0 KiB
2024-10-19T20:03:58.634907image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1.1628818
5-th percentile-1.1628818
Q1-0.96344944
median-0.1657198
Q31.0308747
95-th percentile1.6291719
Maximum1.6291719
Range2.7920537
Interquartile range (IQR)1.9943241

Descriptive statistics

Standard deviation1.0010199
Coefficient of variation (CV)-1.7850989 × 1016
Kurtosis-1.3740956
Mean-5.6076438 × 10-17
Median Absolute Deviation (MAD)0.99716205
Skewness0.32308298
Sum-4.1744386 × 10-14
Variance1.0020408
MonotonicityNot monotonic
2024-10-19T20:03:58.701164image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
-1.16288185 105
21.4%
1.629171883 48
9.8%
-0.9634494405 43
8.8%
-0.764017031 32
 
6.5%
-0.5645846215 30
 
6.1%
1.429739473 28
 
5.7%
1.230307064 27
 
5.5%
-0.3651522121 27
 
5.5%
-0.1657198026 25
 
5.1%
0.8314422448 23
 
4.7%
Other values (5) 103
21.0%
ValueCountFrequency (%)
-1.16288185 105
21.4%
-0.9634494405 43
8.8%
-0.764017031 32
 
6.5%
-0.5645846215 30
 
6.1%
-0.3651522121 27
 
5.5%
-0.1657198026 25
 
5.1%
0.0337126069 22
 
4.5%
0.2331450164 20
 
4.1%
0.4325774259 20
 
4.1%
0.6320098353 20
 
4.1%
ValueCountFrequency (%)
1.629171883 48
9.8%
1.429739473 28
5.7%
1.230307064 27
5.5%
1.030874654 21
4.3%
0.8314422448 23
4.7%
0.6320098353 20
4.1%
0.4325774259 20
4.1%
0.2331450164 20
4.1%
0.0337126069 22
4.5%
-0.1657198026 25
5.1%

Aroon_Down
Real number (ℝ)

High correlation 

Distinct15
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1345225 × 10-16
Minimum-1.5104297
Maximum1.2089767
Zeros0
Zeros (%)0.0%
Negative227
Negative (%)46.2%
Memory size4.0 KiB
2024-10-19T20:03:58.768447image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1.5104297
5-th percentile-1.5104297
Q1-0.92769975
median0.043516833
Q31.0147334
95-th percentile1.2089767
Maximum1.2089767
Range2.7194064
Interquartile range (IQR)1.9424332

Descriptive statistics

Standard deviation1.0010199
Coefficient of variation (CV)4.6896667 × 1015
Kurtosis-1.4787122
Mean2.1345225 × 10-16
Median Absolute Deviation (MAD)0.97121658
Skewness-0.19949355
Sum1.0480505 × 10-13
Variance1.0020408
MonotonicityNot monotonic
2024-10-19T20:03:58.840732image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1.208976729 102
20.8%
-1.510429697 59
12.0%
1.014733413 39
 
7.9%
0.8204900971 32
 
6.5%
-1.31618638 31
 
6.3%
-1.121943064 28
 
5.7%
0.6262467809 26
 
5.3%
-0.5392131159 24
 
4.9%
0.2377601487 23
 
4.7%
-0.733456432 23
 
4.7%
Other values (5) 104
21.2%
ValueCountFrequency (%)
-1.510429697 59
12.0%
-1.31618638 31
6.3%
-1.121943064 28
5.7%
-0.9276997481 22
 
4.5%
-0.733456432 23
 
4.7%
-0.5392131159 24
4.9%
-0.3449697997 19
 
3.9%
-0.1507264836 21
 
4.3%
0.04351683254 20
 
4.1%
0.2377601487 23
 
4.7%
ValueCountFrequency (%)
1.208976729 102
20.8%
1.014733413 39
 
7.9%
0.8204900971 32
 
6.5%
0.6262467809 26
 
5.3%
0.4320034648 22
 
4.5%
0.2377601487 23
 
4.7%
0.04351683254 20
 
4.1%
-0.1507264836 21
 
4.3%
-0.3449697997 19
 
3.9%
-0.5392131159 24
 
4.9%

Interactions

2024-10-19T20:03:54.197713image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:35.190792image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
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2024-10-19T20:03:48.152434image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:49.233887image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:50.370796image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:51.457823image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:52.636340image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:53.718820image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:54.940261image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:35.841869image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:36.921759image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:38.085357image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:39.179650image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:40.329753image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:41.392147image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:42.539619image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:43.664785image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:44.745236image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:45.862044image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:47.008792image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:48.216319image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:49.293438image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:50.436798image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:51.522371image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:52.699963image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:53.781955image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:55.003090image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:35.905100image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:36.985840image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:38.151547image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:39.245925image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:40.390752image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:41.456158image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:42.602386image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:43.731016image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:44.886911image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:45.923769image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:47.077627image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:48.280977image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:49.355091image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:50.501895image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:51.584525image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:52.764183image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:53.845171image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:55.057344image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:35.962337image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:37.043031image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:38.208668image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:39.299073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:40.446907image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:41.513262image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:42.657957image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:43.790268image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:44.939052image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:45.975877image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:47.136772image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:48.341225image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:49.408804image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:50.556965image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:51.638768image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:52.821460image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:53.900953image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:55.118577image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:36.019472image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:37.103298image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:38.272668image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:39.358066image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:40.506186image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:41.571483image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:42.717246image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:43.853016image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:44.994305image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:46.031088image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:47.199401image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:48.404066image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:49.464744image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:50.614259image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:51.698876image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:52.881723image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:53.960215image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:55.177747image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:36.079726image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:37.164408image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:38.331779image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:39.416200image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:40.567480image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:41.630774image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:42.777500image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:43.915579image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:45.050543image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:46.103719image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:47.260343image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:48.481248image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:49.521613image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:50.673516image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:51.758145image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:52.943415image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:54.021428image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:55.239760image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:36.142725image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:37.309729image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:38.396961image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:39.479458image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:40.629770image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:41.696008image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:42.840743image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:43.981861image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:45.112629image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:46.180884image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:47.326017image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:48.546778image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:49.584597image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:50.735890image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:51.823425image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:53.008689image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:54.082714image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:55.297441image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:36.201818image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:37.369738image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:38.456336image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:39.543661image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:40.689048image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:41.755113image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:42.900012image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:44.044995image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:45.169629image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:46.245888image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:47.467922image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:48.608057image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:49.642372image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:50.796541image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:51.881712image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:53.067689image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
2024-10-19T20:03:54.139704image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Correlations

2024-10-19T20:03:58.904374image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ADXAdj CloseAroon_DownAroon_UpBB_lowerBB_upperCloseEMA5HighLowMACDMACD_signalOBVOpenRSI15SMA15Unnamed: 0Volume
ADX1.0000.2110.202-0.2890.120-0.1700.2160.2220.2160.2180.537-0.0420.2000.2170.4300.216-0.065-0.066
Adj Close0.2111.0000.217-0.1950.8590.7001.0000.9930.9980.9980.3770.1190.8980.9950.3320.9600.818-0.407
Aroon_Down0.2020.2171.000-0.543-0.096-0.1810.2190.1820.2180.2220.6030.6500.2620.2130.7160.0490.023-0.071
Aroon_Up-0.289-0.195-0.5431.0000.1130.198-0.197-0.173-0.193-0.201-0.640-0.561-0.213-0.196-0.685-0.0490.0220.167
BB_lower0.1200.859-0.0960.1131.0000.8490.8570.8790.8610.858-0.017-0.1460.7590.861-0.1120.9260.843-0.328
BB_upper-0.1700.700-0.1810.1980.8491.0000.6980.7180.7000.698-0.303-0.1300.5940.701-0.3150.7710.752-0.360
Close0.2161.0000.219-0.1970.8570.6981.0000.9930.9980.9980.3810.1180.9010.9950.3360.9600.812-0.408
EMA50.2220.9930.182-0.1730.8790.7180.9931.0000.9940.9940.3630.0620.8960.9940.2770.9790.812-0.407
High0.2160.9980.218-0.1930.8610.7000.9980.9941.0000.9980.3790.1130.8950.9980.3240.9620.814-0.391
Low0.2180.9980.222-0.2010.8580.6980.9980.9940.9981.0000.3830.1150.8970.9980.3310.9600.811-0.417
MACD0.5370.3770.603-0.640-0.017-0.3030.3810.3630.3790.3831.0000.3600.4330.3800.8720.2540.058-0.151
MACD_signal-0.0420.1190.650-0.561-0.146-0.1300.1180.0620.1130.1150.3601.0000.0870.1070.614-0.0980.102-0.026
OBV0.2000.8980.262-0.2130.7590.5940.9010.8960.8950.8970.4330.0871.0000.8920.3800.8680.643-0.412
Open0.2170.9950.213-0.1960.8610.7010.9950.9940.9980.9980.3800.1070.8921.0000.3160.9620.813-0.408
RSI150.4300.3320.716-0.685-0.112-0.3150.3360.2770.3240.3310.8720.6140.3800.3161.0000.1260.005-0.125
SMA150.2160.9600.049-0.0490.9260.7710.9600.9790.9620.9600.254-0.0980.8680.9620.1261.0000.814-0.392
Unnamed: 0-0.0650.8180.0230.0220.8430.7520.8120.8120.8140.8110.0580.1020.6430.8130.0050.8141.000-0.337
Volume-0.066-0.407-0.0710.167-0.328-0.360-0.408-0.407-0.391-0.417-0.151-0.026-0.412-0.408-0.125-0.392-0.3371.000

Missing values

2024-10-19T20:03:55.393836image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-10-19T20:03:55.544472image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Unnamed: 0OpenHighLowCloseAdj CloseVolumeSMA15EMA5RSI15BB_upperBB_lowerMACDMACD_signalOBVADXAroon_UpAroon_Down
000.1455600.1358000.0929530.1214770.1190830.683939-1.340756-1.480714-1.170455-1.460994-1.402776-0.028429-0.402157-124385900.0-0.9833831.6291720.237760
110.1004800.1037190.1046980.1263870.1238970.481122-1.350067-1.536957-1.170455-1.460994-1.402776-0.028429-0.402157-41011300.0-0.9833831.4297390.043517
220.1303520.1244990.1212670.1316600.1290670.510319-1.361406-1.566856-1.074445-1.460994-1.402776-0.028429-0.40215748897200.0-0.9833831.230307-0.150726
330.1130620.0982500.0948650.0895620.0877970.439734-1.385392-1.647425-1.565941-1.460994-1.402776-0.028429-0.402157-26020600.0-0.9833831.030875-0.344970
440.1378660.1740790.1395670.1986720.1947580.618326-1.376107-1.543980-0.048489-1.460994-1.402776-0.028429-0.40215792833400.0-0.9833830.831442-0.539213
550.1793250.2026980.1839040.2244040.2199830.527457-1.369624-1.4379540.208536-1.460994-1.402776-0.028429-0.402157186813100.0-0.9833830.632010-0.733456
660.2078390.2051590.2117630.2114930.2073260.431677-1.372746-1.3858660.044261-1.460994-1.402776-0.028429-0.402157113439000.0-0.9833830.432577-0.927700
770.2372590.2353260.2220500.2274960.2230140.510146-1.378882-1.3280910.209594-1.460994-1.402776-0.028429-0.402157203307300.0-0.9833830.233145-1.121943
880.2092880.2014220.2104880.2161300.2118720.380100-1.380376-1.3059460.055954-1.460994-1.402776-0.028429-0.402157139089000.0-0.9833830.033713-1.316186
990.1848460.2160950.2001090.2336790.2290750.467013-1.364581-1.2659050.246565-1.460994-1.402776-0.028429-0.402157219478400.0-0.983383-0.165720-1.510430
Unnamed: 0OpenHighLowCloseAdj CloseVolumeSMA15EMA5RSI15BB_upperBB_lowerMACDMACD_signalOBVADXAroon_UpAroon_Down
4814810.8915540.8924530.8845590.8789780.8802460.1920861.8384041.739481-0.7423132.1935311.658759-0.116846-0.4036731.732336e+09-1.637034-1.162882-0.927700
4824820.8897440.8950970.9020390.9160760.9169550.1088001.8623631.747274-0.2454902.1936061.660816-0.138265-0.3775541.764192e+09-1.688053-1.162882-1.121943
4834830.8981620.9294570.9164240.9503550.9508750.1293271.8859751.8018420.1500952.1912881.671180-0.052816-0.0758021.797783e+09-1.7003191.230307-1.316186
4844840.9212460.9271780.9377280.9458080.9463760.0614031.8864291.8316730.0859302.1894571.678815-0.0039380.0694861.769599e+09-1.7117091.030875-1.510430
4854850.9350050.9263580.9392750.9322600.9329700.1076261.8846951.832047-0.1077022.1958381.685831-0.0119370.0362431.737840e+09-1.7222850.831442-0.539213
4864860.9295740.9475030.9507470.9663580.9667100.1957581.8975811.8814080.2894882.2011851.7008400.0820290.2776181.777722e+09-1.6789020.632010-0.733456
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